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Ava Farnan1, Annabel Sorby-Adams1, Jennifer Guo1

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Summary
This summary is machine-generated.

Portable, low-field MRI (LF-MRI) combined with machine learning (ML) accurately quantifies brain changes in Alzheimer's disease (AD) patients. This accessible neuroimaging approach enables effective disease monitoring in outpatient settings.

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Area of Science:

  • Neuroimaging
  • Machine Learning
  • Neurology

Background:

  • Magnetic resonance imaging (MRI) is crucial for monitoring Alzheimer's disease (AD) progression.
  • Portable, low-field MRI (LF-MRI) offers point-of-care assessment and improved patient access.
  • A machine learning (ML) pipeline was developed to quantify brain morphometry using LF-MRI for AD patient monitoring.

Purpose of the Study:

  • To evaluate the feasibility of using LF-MRI with an ML pipeline for brain morphometry quantification in Alzheimer's disease (AD) patients.
  • To assess the comparability of LF-MRI derived brain volumes with conventional high-field MRI (HF-MRI) measurements.
  • To determine if LF-MRI can differentiate between patients with mild cognitive impairment (MCI) or AD and those with vascular comorbidities (VC).

Main Methods:

  • Enrolled patients with MCI or AD from an outpatient memory clinic and a cohort with vascular comorbidities (VC).
  • Acquired LF-MRI (0.064 T) and HF-MRI (1.5-3 T) scans.
  • Processed T2 FLAIR sequences using a FreeSurfer-based pipeline (WMH-SynthSeg) for quantifying brain region volumes.

Main Results:

  • High correlations were found between LF-MRI and HF-MRI derived brain volumes across all regions (p < 0.05).
  • Highest correlations were observed in the cortex, white matter, lateral ventricle, and amygdala.
  • MCI and AD cohorts exhibited significant regional atrophy compared to the VC cohort, particularly in the cortex, hippocampus, and amygdala (p < 0.001).

Conclusions:

  • LF-MRI acquisition is feasible at the point-of-care for MCI or AD patients.
  • ML algorithms applied to LF-MRI generate brain volumes comparable to conventional MRI, enabling differentiation between VC and AD/MCI subgroups.
  • LF-MRI represents an accessible neuroimaging option for monitoring cognitive impairment.